Data, scripts and model output to perform spatiotemporal analysis of plankton drivers in the Belgian part of the North Sea

This archive contains the input data, R scripts and final results of a mechanistic model that uses near real-time data from the Belgian Part of the North Sea (2011-2017) to quantify the relative contributions of the bottom-up and top-down drivers in phytoplankton dynamics. Input data are zooplankton and phytoplankton abundances, nutrients, Sea Surface Temperature (SST), photosynthetically active radiation (PAR); from the LifeWatch data and infrastructure, funded by Research Foundation - Flanders (FWO). Water temperature data for one of the locations was obtained from Flemish Banks Monitoring Network at https://meetnetvlaamsebanken.be/. The R scripts are presented in a R Markdown file that can be executed in the Blue-Cloud Zoo and Phytoplankton EOV products Vlab at https://blue-cloud.d4science.org/web/zoo-phytoplankton_eov, operated by D4Science.org, www.d4science.org (Assante et al., 2019).

本数据集存档包含一套机制模型（mechanistic model）的输入数据、R脚本与最终结果。该模型依托比利时北海海域（2011-2017年）的准实时数据，量化浮游植物动态过程中上行效应（bottom-up）与下行效应（top-down）驱动因子的相对贡献。输入数据涵盖浮游动物丰度、浮游植物丰度、营养盐、海表温度（Sea Surface Temperature, SST）与光合有效辐射（photosynthetically active radiation, PAR），数据来源于由弗拉芒研究基金会（Research Foundation - Flanders, FWO）资助的LifeWatch数据与基础设施平台。其中一处监测点位的水温数据取自弗拉芒海岸监测网络（Flemish Banks Monitoring Network），数据获取网址为https://meetnetvlaamsebanken.be/。本数据集的R脚本以R标记文档（R Markdown file）形式提供，可在由D4Science.org（www.d4science.org）运营的蓝云（Blue-Cloud）浮游动物与浮游植物核心海洋变量（Essential Ocean Variables, EOV）产品虚拟实验室中运行，该虚拟实验室的访问网址为https://blue-cloud.d4science.org/web/zoo-phytoplankton_eov（阿桑特等，2019）。